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We also observe a 2× improvement in performance for memory-centric application traces using the MORE modeling system.
To make our observations quantitative, we analyzed all the traces using the PyEMMA software package to generate a hidden Markov model (HMM) from the time series data of measured extensions (see Methods and Supplementary Figure 3).
Therewith, these compounds were identified and quantified on the basis of specific precursor/product ion traces using the high selectivity and sensitivity of multiple reaction monitoring mode (MRM) of a triple quadrupole mass spectrometer.
The electron density profiles (EDP) were inverted from all suitable ionogram traces using the NHPC method (Reinisch and Huang, 1983).
Red and blue lines, respectively, show the ground motion traces using the 2014 and 2011 event models shown in Fig. 9.
This was done by performing an automated analysis of EPG traces using the software followed by the correction of any mistakes by hand.
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Supplementary Movie 3 Lineage tracing using the photoconvertable protein Kaede.
Compares Metropolis light transport with bidirectional path tracing, using the same computation time.
The nonlinear equilibrium paths were traced using the Arc-length method.
It is important to note that our results build on a pioneering study24, exploring beta-cell development using short-term tracing using the perdurance of fluorescently tagged histones.
The postbuckling path is traced using the arc-length method combined with the modified Newton Raphson technique.
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